01 — SIGNAL: Scan + Identify

AI Readiness Assessment

Is your organisation ready for AI, or ready to buy it?

Before selecting a vendor or writing a budget line, you need to know what your operations can actually support. Most ASEAN organisations discover this after a failed pilot. We surface it before you start.

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2–3

weeks to a board-ready report

71%

of ASEAN AI pilots stall before production

What the assessment covers

The AI Readiness Assessment is a structured diagnostic conducted over two to three weeks. It produces a single output: a board-ready report with a prioritised action plan. No technology is selected until the audit is complete.

Data Infrastructure

Where your data lives, how it moves, and whether it is in a state that AI systems can actually use. Most organisations discover that "we have the data" is not the same as "the data is usable."

Workflow Maturity

Which processes are documented, which are tribal knowledge, and which have enough standardisation that an AI system could participate in them without constant human correction.

Team Capability

Who owns AI-adjacent decisions today, what skills exist internally, and what capability gaps need to be closed before implementation begins.

Tooling Inventory

What technology you already pay for, what it is actually used for, and whether vendor consolidation or rationalization is required before adding AI systems.

What you receive

A board-ready report structured for a non-technical audience, with a prioritised action plan ordered by operational impact and implementation complexity. The report maps directly to the SIGNAL framework: Scan phase findings feed directly into Identify phase recommendations.

The report includes: an AI maturity score across four dimensions, a ranked list of viable automation opportunities, a data readiness assessment, and a recommended sequencing plan for the next 12 months.

How we work

Three structured workshops with your operations and IT leads. A review of existing documentation (process maps, system architecture, data dictionaries). Interviews with three to five frontline process owners. No technology vendor contact during the audit phase.